AI Engineer

Job description

At first glance, you’ll see Danaher’s scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms—life sciences, diagnostics, and biotechnology. Look again and you’ll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You’ll find associates who are as certain about their impact as they are about where they’re headed next. You’ll find the Danaher Business System, which makes everything possible. You’ll also see a company that investors trust—our culture of continuous improvement has helped us outperform the S&P 500 by more than 5,000% over the past 25 AI Engineer As the AI Engineer for the Enterprise AI team, you are responsible for designing, developing, and deploying AI including Generative AI and Agentic AI frameworks, to build intelligent and autonomous systems. You will work with different business to help build the solution using AI and Gen AI frameworks. You will also be involved in developing Data based applications and Dashboards that are critical for business which has high visibility. Key Responsibilities: Design, build, deploy, and monitor AI/ML models, agents, and model endpoints for reliable production performance. Develop Agentic AI and Generative AI solutions using prompt engineering, RAG, multimodal AI, and autonomous reasoning capabilities. Integrate AI models into business applications and production environments, including applications deployed on Azure infrastructure. Build and maintain data and MLOps pipelines using Snowflake, CI/CD practices, model versioning, artifact management, and release processes. Collaborate with data scientists, software engineers, and product teams while creating BI dashboards in Power BI/Tableau and staying current with AI trends and best practices. Technical skills and Qualification: Strong programming skills in Python, Java, or C#, with experience using AI libraries such as TensorFlow, PyTorch, and related frameworks. Hands-on experience with Generative AI (e.g., LLMs), Agentic AI systems, and AI frameworks like LangChain, Hugging Face, or OpenAI APIs to build scalable AI applications. Basic understanding of cloud computing, cloud-based AI tools such as AWS SageMaker, GCP AI, and Azure ML, and monitoring tools including Azure Monitor, Grafana, Prometheus, Splunk, or Application Insights. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field, with 0–2 years of relevant AI/Data Engineering experience and proficiency using AI-assisted coding agents to rapidly build production-ready applications. Preferred Skills: Experience in real-time AI applications, Generative AI, or LLMs. Knowledge of Agentic AI frameworks (AutoGPT, OpenAI's Assistants API, CrewAI) Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com. Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com.